Triple
T5829516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daykundi Province |
E129309
|
entity |
| Predicate | governorType |
P64850
|
FINISHED |
| Object | provincial governor |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: provincial governor | Statement: [Daykundi Province, governorType, provincial governor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governorType Context triple: [Daykundi Province, governorType, provincial governor]
-
A.
governorateType
Indicates the specific classification or category of a governorate within an administrative or governmental hierarchy.
-
B.
governorTitle
Indicates the official title or designation held by a person serving as a governor.
-
C.
provinceGovernor
Indicates that one entity serves as the governor or chief administrative authority of a particular province in relation to the other entity.
-
D.
governorateOf
Indicates that one entity is the governorate (administrative region) to which another entity belongs or is located within.
-
E.
typicalGovernorPosition
chosen
Indicates the usual or standard official position or office that a governor typically holds.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03341e5888190a5f219b6f92cb161 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:54 p.m.